Laplacian filter in image processing example

1. What is Laplacian filter in image processing?
2. Where is Laplacian filter used?
3. How can we use Laplacian to detect edges from the image?
4. What is the advantage of Laplacian filter?

What is Laplacian filter in image processing?

A Laplacian filter is an edge detector used to compute the second derivatives of an image, measuring the rate at which the first derivatives change. This determines if a change in adjacent pixel values is from an edge or continuous progression.

Where is Laplacian filter used?

Laplacian filter is a second-order derivative filter used in edge detection, in digital image processing.

How can we use Laplacian to detect edges from the image?

The Laplacian is a 2-D isotropic measure of the 2nd spatial derivative of an image. The Laplacian of an image highlights regions of rapid intensity change and is therefore often used for edge detection (see zero crossing edge detectors).

What is the advantage of Laplacian filter?

As a spatial filter, the surface Laplacian can reduce spatial noise and enhance prediction.